Invariant 2D object recognition using the wavelet transform and structured neural networks

Mahmoud I. Khalil; Mohamed M. Bayoumi

doi:10.1117/12.342942

22 March 1999 Invariant 2D object recognition using the wavelet transform and structured neural networks

Mahmoud I. Khalil, Mohamed M. Bayoumi

Proceedings Volume 3723, Wavelet Applications VI; (1999) https://doi.org/10.1117/12.342942
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

This paper applies the dyadic wavelet transform and the structured neural networks approach to recognize 2D objects under translation, rotation, and scale transformation. Experimental results are presented and compared with traditional methods. The experimental results showed that this refined technique successfully classified the objects and outperformed some traditional methods especially in the presence of noise.

Citation Download Citation

Mahmoud I. Khalil and Mohamed M. Bayoumi "Invariant 2D object recognition using the wavelet transform and structured neural networks", Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); https://doi.org/10.1117/12.342942

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available